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Color artifacts are often found at edges due to interpolation across them. To tackle this problem, four high-order interpolants for four different directions are determined, and a weight based on the corresponding absolute directional color differences is assigned to each of them. In a smooth area, the interpolants in the four directions will have equal normalized weights of 1/4. In a nonsmooth area...
A device was developed to monitor the heart rate of patients who are undergoing CPAP therapy, a technique used to treat Sleep Apnea. This device is a wearable ballistocardiographic device that comprises of a 3-axis gyroscope, embedded into a full face CPAP mask. Data were collected from the gyroscope whilst being worn by a patient in simulated sleeping conditions. From these data, an algorithm was...
In order to preserve an edge in demosaicking, four directional high-order interpolants of the missing color value are determined in four different directions. A nonlinear weight is then assigned to each interpolant, so that the weights for the interpolants are more extreme on different sides of an edge in order to reduce the influence of the interpolants on the opposite side of an edge while increasing...
A novel noniterative extrapolation method based on Taylor series approximation is proposed for color filter array demosaicing. New extrapolation equations are derived for the estimation of the green plane with higher accuracy by including higher order terms of the Taylor series. Our proposed method avoids interpolation across an edge and thus reduces errors in the demosaiced image. It has been shown...
Demosaicing is the process of interpolating the output from a single chip colour filter array sensor to form a full colour image. In hardware, the simplest algorithms: zero order hold and bilinear interpolation, are commonly used because of their simplicity and low resource requirements. State of the art algorithms are difficult to implement in hardware because of their complex access patterns. This...
In this paper, we propose an image denoising algorithm for 3D demosaicked images. Each color component of the 3D stereo images is processed for noise reduction by identifying the stereo correspondences between two stereo images at subpixel accuracy. Using our proposed method, it has been experimentally shown that there is visual improvement in the demosaicked output images using a realistic signal-dependent...
Colour Filter Array (CFA) demosaicking is a process to interpolate missing colour values in order to produce a full colour image when a single image sensor is used. For smooth regions, a higher order of interpolation will usually achieve higher accuracy. However when there is a colour edge, a lower order of interpolation is desirable as it will avoid interpolation across an edge without blurring it...
Hot pixels are defective pixels in image sensors produced in the manufacturing process. The amount of these hot pixels is likely to be higher for higher resolution digital cameras, and this may increase with usage. These defective pixels are impulsive in nature and will cause severe colour artifact problems in the colour filter array (CFA) interpolation process for demosaicking of a full colour image...
The fabrication process for today's digital cameras will inevitably produce some defective pixels in those mega-pixel image sensors. In the manufacturing process, these defective pixels, known as bad pixels, will normally be mapped out. However, more bad pixels could appear over time with camera usage, and some would only appear on a long exposure and/or at high ISO settings. It is therefore not desirable...
When a single-sensor digital camera is used for full colour image capture, only one colour for each pixel is acquired through the colour filter array which is placed in front of the image sensor. CFA demosaicking is a process for the estimation of the other missing colour values in order to produce a full colour image. To preserve sharp colour edges and avoid colour artifacts, it is desirable not...
Most digital cameras use a single image sensor to capture colour images. As a result, only one colour at each pixel location is acquired. Demosaicking is a technique to estimate all the other missing colour pixel information in order to produce a full colour image, while inverse demosaicking refers to the recovery of the single image sensor values from the full colour image. Early digital cameras...
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